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Overview
WebAssign for Waner/Costenoble's Finite Mathematics, 8th Edition is a flexible and fully customizable online instructional solution that puts powerful tools in the hands of instructors, enabling you to deploy assignments, instantly assess individual student and class performance and help your students master the course concepts. With WebAssign’s powerful digital platform and Finite Mathematics specific content, you can tailor your course with a wide range of assignment settings, add your own questions and content and access student and course analytics and communication tools.
- Analytics: With powerful analytics tools in WebAssign, you can assess course performance, determine concept mastery and identify at-risk students.
- Course Packs: Get started with the assignment portion of your course with pre-built assessments designed by subject matter experts. Use these as they are, customize them to your liking, or design your own by personally selecting the exercises you wish to assign.
- By the Book: WebAssign elevates the superior content and pedagogy of the text by offering algorithmically-generated assignments based on end-of-section questions directly from the book.
- Timely Help: Promotes independent learning with a wide range of help tools at the question or assignment level--such as Watch It videos, Master It tutorials and Read It links to the eTextbook--and feedback when students need it to complete assignments and help them learn the concepts.
- Teach Your Way: Facilitates learning through fully customizable settings including automatic point adjustments and browser lockdown, empowering you to build the course to your needs and keep students motivated.
- Courses & Sections: Creating a course in WebAssign takes only a few minutes. Setup is intuitive, and its flexible platform supports all course designs.
- LMS Integrations: WebAssign integrates with popular LMS systems for ease of use. WebAssign can eliminate manual entry of routine data by linking your institution’s information systems to our software.
- Support & Services: WebAssign has a top-notch team of experts who are available to help whenever you need them.
- Security & Reliability: Teacher and student records and privacy are fiercely protected in accordance with all U.S. laws, while maintaining reliable access to WebAssign and making every effort to ensure optimal system reliability and performance.
- Question Creation: Create your own questions in WebAssign with ease. Use our built-in templates or start from scratch with detailed documentation and step-by-step video tutorials.
- Secure Testing: Concerned about cheating? WebAssign enables you to password-protect assignments, set a time limit for completion, restrict access to certain IP addresses and even prevent students from accessing other applications on their computer while taking the test.
- Accessibility: WebAssign is committed to making its services available to all students based on guidelines from the World Wide Web Consortium (W3C) Web Accessibility Initiative (WAI).
0. PRECALCULUS REVIEW.
Real Numbers. Exponents and Radicals. Using Exponent Identities. Multiplying and Factoring Algebraic Equations. Rational Expressions. Solving Polynomial Equations. Solving Miscellaneous Equations. The Coordinate Plane. Logarithms.
1. FUNCTIONS AND APPLICATIONS.
Functions from the Numerical, Algebraic, and Graphical Viewpoints. Functions and Models. Linear Functions and Models. Linear Regression.
2. THE MATHEMATICS OF FINANCE.
Simple Interest. Compound Interest. Annuities, Loans, and Bonds.
3. SYSTEMS OF LINEAR EQUATIONS AND MATRICES.
Systems of Two Equations in Two Unknowns. Using Matrices to Solve Systems of Equations. Applications of Systems of Linear Equations.
4. MATRIX ALGEBRA AND APPLICATIONS.
Matrix Addition and Scalar Multiplication. Matrix Multiplication. Matrix Inversion. Game Theory. Input-Output Models.
5. LINEAR PROGRAMMING.
Graphing Linear Inequalities. Solving Linear Programming Problems Graphically. The Simplex Method: Solving Standard Maximization Problems. The Simplex Method: Solving General Linear Programming Problems. The Simplex Method and Duality.
6. SETS AND COUNTING.
Set Operations. Cardinality. Decision Algorithms: The Addition and Multiplication Principles. Permutations and Combinations.
7. PROBABILITY.
Sample Spaces and Events. Relative Frequency. Probability and Probability Models. Probability and Counting Techniques. Conditional Probability and Independence. Bayes' Theorem and Applications. Markov Systems.
8. RANDOM VARIABLES AND STATISTICS.
Random Variables and Distributions. Bernoulli Trials and Binomial Random Variables. Measures of Central Tendency. Measures of Dispersion. Normal Distributions.
Real Numbers. Exponents and Radicals. Using Exponent Identities. Multiplying and Factoring Algebraic Equations. Rational Expressions. Solving Polynomial Equations. Solving Miscellaneous Equations. The Coordinate Plane. Logarithms.
1. FUNCTIONS AND APPLICATIONS.
Functions from the Numerical, Algebraic, and Graphical Viewpoints. Functions and Models. Linear Functions and Models. Linear Regression.
2. THE MATHEMATICS OF FINANCE.
Simple Interest. Compound Interest. Annuities, Loans, and Bonds.
3. SYSTEMS OF LINEAR EQUATIONS AND MATRICES.
Systems of Two Equations in Two Unknowns. Using Matrices to Solve Systems of Equations. Applications of Systems of Linear Equations.
4. MATRIX ALGEBRA AND APPLICATIONS.
Matrix Addition and Scalar Multiplication. Matrix Multiplication. Matrix Inversion. Game Theory. Input-Output Models.
5. LINEAR PROGRAMMING.
Graphing Linear Inequalities. Solving Linear Programming Problems Graphically. The Simplex Method: Solving Standard Maximization Problems. The Simplex Method: Solving General Linear Programming Problems. The Simplex Method and Duality.
6. SETS AND COUNTING.
Set Operations. Cardinality. Decision Algorithms: The Addition and Multiplication Principles. Permutations and Combinations.
7. PROBABILITY.
Sample Spaces and Events. Relative Frequency. Probability and Probability Models. Probability and Counting Techniques. Conditional Probability and Independence. Bayes' Theorem and Applications. Markov Systems.
8. RANDOM VARIABLES AND STATISTICS.
Random Variables and Distributions. Bernoulli Trials and Binomial Random Variables. Measures of Central Tendency. Measures of Dispersion. Normal Distributions.